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Olmo 3 7B Instruct: Pricing, Context Window & Benchmarks

7B

by AllenAI

Olmo 3 7B Instruct is a supervised instruction-fine-tuned variant of the Olmo 3 7B base model, optimized for instruction-following, question-answering, and natural conversational dialogue. By leveraging high-quality instruction data and an open training pipeline, it delivers strong performance across everyday NLP tasks while remaining accessible and easy to integrate. Developed by Ai2 under the Apache 2.0 license, the model offers a transparent, community-friendly option for instruction-driven applications.

Chat with Olmo 3 7B Instruct
Input Price
$0.10/1M tokens
Output Price
$0.20/1M tokens
Intelligence
8.1
Coding
3.4

What you can do with Olmo 3 7B Instruct

Everyday Q&A and clear explanations

Writing help (emails, posts, summaries)

Idea generation and brainstorming

Learning support with step-by-step guidance

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Highlights

5 tests
GPQA
40.0%
MMLU Pro
52.2%
LiveCodeBench
26.6%
Math 500
N/A
AIME 2025
41.3%
HLE
5.8%
Metric Value
Provider AllenAI
Context Window 65,536 tokens
Input Price $0.10/1M tokens
Output Price $0.20/1M tokens
Release Date Nov 20, 2025
Modalities text
Capabilities N/A

Compare Olmo 3 7B Instruct to other models

See how it stacks up on price, quality, and overall performance.

Frequently asked questions

What is Olmo 3 7B Instruct good for?

Use Olmo 3 7B Instruct for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Olmo 3 7B Instruct cost?

Pricing is based on usage. Current rates are $0.10/1M tokens for input and $0.20/1M tokens for output.

Can I try Olmo 3 7B Instruct for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does Olmo 3 7B Instruct support images or audio?

Olmo 3 7B Instruct focuses on text-based tasks.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.